MGSC 676 Applied Multivariate Data Analysis (3 credits)

Offered by: Management (Desautels Faculty of Management)

Administered by: Graduate Studies

Overview

Management Science : Statistical methods and applications of multivariate data analysis, including: multivariate analysis of variance (MANOVA), multivariate linear regression, principal components, factor analysis, canonical correlation, discrimination and classification, and clustering. The course makes extensive use of the SAS statistical software package.

Terms: This course is not scheduled for the 2009-2010 academic year.

Instructors: There are no professors associated with this course for the 2010-2011 academic year.

  • Prerequisite (Undergraduate): MGCR 272 or MGCR 274
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